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Volumn 3, Issue , 2013, Pages

Exploring the limits of community detection strategies in complex networks

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EID: 84880352454     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep02216     Document Type: Article
Times cited : (69)

References (38)
  • 3
    • 74049087026 scopus 로고    scopus 로고
    • Community detection in graphs
    • Fortunato, S. Community detection in graphs. Phys. Rep. 486, 75-174 (2010).
    • (2010) Phys. Rep , vol.486 , pp. 75-174
    • Fortunato, S.1
  • 4
    • 80052366868 scopus 로고    scopus 로고
    • Deciphering network community structure by surprise
    • Aldecoa, R. & Mar, I. Deciphering Network Community Structure by Surprise. PLoS ONE 6, e24195 (2011).
    • (2011) PLoS ONE , vol.6
    • Aldecoa, R.1    Mar, I.2
  • 5
    • 84857508468 scopus 로고    scopus 로고
    • Closed benchmarks for network community structure characterization
    • Aldecoa, R. & Mar, I. Closed benchmarks for network community structure characterization. Phys. Rev. E 85, 026109 (2012).
    • (2012) Phys. Rev. e , vol.85 , pp. 026109
    • Aldecoa, R.1    Mar, I.2
  • 6
    • 84872718164 scopus 로고    scopus 로고
    • Surprise maximization reveals the community structure of complex networks
    • Aldecoa, R. &Mar, I. Surprise maximization reveals the community structure of complex networks. Sci. Rep. 3, 1060 (2013).
    • (2013) Sci. Rep. , vol.3 , pp. 1060
    • Aldecoa, R.1    Mar, I.2
  • 8
    • 71849108522 scopus 로고    scopus 로고
    • Community detection algorithms: A comparative analysis
    • Lancichinetti, A. &Fortunato, S. Community detection algorithms: a comparative analysis. Phys. Rev. E 80, 056117 (2009).
    • (2009) Phys. Rev e , vol.80 , pp. 056117
    • Lancichinetti, A.1    Fortunato, S.2
  • 10
    • 84866321659 scopus 로고    scopus 로고
    • Comparative evaluation of community detection algorithms: A topological approach
    • Orman, G. K., Labatut, V. & Cherifi, H. Comparative evaluation of community detection algorithms: a topological approach. J. Stat. Mech. P08001 (2012).
    • (2012) J. Stat. Mech
    • Orman, G.K.1    Labatut, V.2    Cherifi, H.3
  • 12
    • 0037062448 scopus 로고    scopus 로고
    • Community structure in social and biological networks
    • Girvan, M. & Newman, M. E. J. Community structure in social and biological networks. Proc. Natl. Acad. Sci. USA 99, 7821 (2002).
    • (2002) Proc. Natl. Acad. Sci. USA , vol.99 , pp. 7821
    • Girvan, M.1    Newman, M.E.J.2
  • 13
  • 14
    • 84855323676 scopus 로고    scopus 로고
    • Limits of modularity maximization in community detection
    • Lancichinetti, A. & Fortunato, S. Limits of modularity maximization in community detection. Phys. Rev. E 84, 066122 (2011).
    • (2011) Phys. Rev e , vol.84 , pp. 066122
    • Lancichinetti, A.1    Fortunato, S.2
  • 15
    • 84880348025 scopus 로고    scopus 로고
    • Limitation of multi-resolution methods in community detection
    • Xiang, J. & Hu, K. Limitation of multi-resolution methods in community detection. Physica A 121, 587-616 (2012).
    • (2012) Physica A , vol.121 , pp. 587-616
    • Xiang, J.1    Hu, K.2
  • 16
    • 55849088356 scopus 로고    scopus 로고
    • Benchmark graphs for testing community detection algorithms
    • Lancichinetti, A., Fortunato, S. & Radicchi, F. Benchmark graphs for testing community detection algorithms. Phys. Rev. E 78, 046110 (2008).
    • (2008) Phys. Rev e , vol.78 , pp. 046110
    • Lancichinetti, A.1    Fortunato, S.2    Radicchi, F.3
  • 18
    • 33947156744 scopus 로고    scopus 로고
    • Comparing clusterings-an information based distance
    • Meila, M. Comparing clusterings-an information based distance. J. Multivariate Anal. 98, 873 (2007).
    • (2007) J. Multivariate Anal , vol.98 , pp. 873
    • Meila, M.1
  • 19
    • 37649028224 scopus 로고    scopus 로고
    • Finding and evaluating community structure in networks
    • Newman, M. E. J. & Girvan, M. Finding and evaluating community structure in networks. Phys. Rev. E 69, 026113 (2004).
    • (2004) Phys. Rev e , vol.69 , pp. 026113
    • Newman, M.E.J.1    Girvan, M.2
  • 20
    • 39549086558 scopus 로고    scopus 로고
    • Maps of random walks on complex networks reveal community structure
    • Rosvall, M.& Bergstrom, C. T.Maps of random walks on complex networks reveal community structure. Proc. Natl. Acad. Sci. USA 105, 1118 (2008).
    • (2008) Proc. Natl. Acad. Sci. USA , vol.105 , pp. 1118
    • Rosvall, M.1    Bergstrom, C.T.2
  • 21
    • 33746227724 scopus 로고    scopus 로고
    • Statistical mechanics of community detection
    • Reichardt, J. & Bornholdt, S. Statistical mechanics of community detection. Phys. Rev. E 74, 16110 (2006).
    • (2006) Phys. Rev e , vol.74 , pp. 16110
    • Reichardt, J.1    Bornholdt, S.2
  • 22
    • 34548856552 scopus 로고    scopus 로고
    • Near linear time algorithm to detect community structures in large-scale networks
    • Raghavan, U. N., Albert, R. & Kumara, S. Near linear time algorithm to detect community structures in large-scale networks. Phys. Rev. E 76, 036106 (2007).
    • (2007) Phys. Rev e , vol.76 , pp. 036106
    • Raghavan, U.N.1    Albert, R.2    Kumara, S.3
  • 23
    • 0036529479 scopus 로고    scopus 로고
    • An efficient algorithm for large-scale detection of protein families
    • Enright, A. J., van Dongen, S. & Ouzounis, C. A. An efficient algorithm for largescale detection of protein families. Nucl. Acid Res. 30, 1575-1584 (2002). (Pubitemid 34679732)
    • (2002) Nucleic Acids Research , vol.30 , Issue.7 , pp. 1575-1584
    • Enright, A.J.1    Van Dongen, S.2    Ouzounis, C.A.3
  • 24
    • 77951712379 scopus 로고    scopus 로고
    • Local resolution-limit-free Potts model for community detection
    • Ronhovde, P. & Nussinov, Z. Local resolution-limit-free Potts model for community detection. Phys. Rev. E 81, 046114 (2010).
    • (2010) Phys. Rev e , vol.81 , pp. 046114
    • Ronhovde, P.1    Nussinov, Z.2
  • 25
    • 79961125553 scopus 로고    scopus 로고
    • Narrow scope for resolution-free community detection
    • Traag, V. A., Van Dooren, P. & Nesterov, Y. Narrow scope for resolution-free community detection. Phys. Rev. E 84, 016114 (2011).
    • (2011) Phys. Rev e , vol.84 , pp. 016114
    • Traag, V.A.1    Van Dooren, P.2    Nesterov, Y.3
  • 27
    • 42449092008 scopus 로고    scopus 로고
    • Efficient modularity optimization by multistep greedy algorithm and vertex mover refinement
    • Schuetz, P. & Caflisch, A. Efficient modularity optimization by multistep greedy algorithm and vertex mover refinement. Phys. Rev. E 77, 046112 (2008).
    • (2008) Phys. Rev e , vol.77 , pp. 046112
    • Schuetz, P.1    Caflisch, A.2
  • 28
    • 41349117788 scopus 로고    scopus 로고
    • Finding community structure in very large networks
    • Clauset, A., Newman, M. E. J. & Moore, C. Finding community structure in very large networks. Phys. Rev. E 70, 066111 (2004).
    • (2004) Phys. Rev E , vol.70 , pp. 066111
    • Clauset, A.1    Newman, M.E.J.2    Moore, C.3
  • 29
    • 77955358462 scopus 로고    scopus 로고
    • Jerarca: Efficient analysis of complex networks using hierarchical clustering
    • Aldecoa, R. & Mar, I. Jerarca: Efficient Analysis of Complex Networks Using Hierarchical Clustering. PloS ONE 5, e11585 (2010).
    • (2010) PloS ONE , vol.5
    • Aldecoa, R.1    Mar, I.2
  • 30
    • 10244264813 scopus 로고    scopus 로고
    • Protein complex prediction via cost-based clustering
    • DOI 10.1093/bioinformatics/bth351
    • King, A. D., Przulj, N. & Jurisica, I. Protein complex prediction via cost-based clustering. Bioinformatics 20, 3013-3020 (2004). (Pubitemid 39619193)
    • (2004) Bioinformatics , vol.20 , Issue.17 , pp. 3013-3020
    • King, A.D.1    Przulj, N.2    Jurisica, I.3
  • 31
    • 13844264514 scopus 로고    scopus 로고
    • Iterative cluster analysis of protein interaction data
    • DOI 10.1093/bioinformatics/bti021
    • Arnau, V.,Mars, S.&Mar, I. Iterative cluster analysis of protein interaction data. Bioinformatics 21, 364-378 (2005). (Pubitemid 40246608)
    • (2005) Bioinformatics , vol.21 , Issue.3 , pp. 364-378
    • Arnau, V.1    Mars, S.2    Marin, I.3
  • 32
    • 0009752612 scopus 로고
    • The measurement of diversity in different types of biological collections
    • Pielou, E. C. The measurement of diversity in different types of biological collections. J. Theor. Biol. 13, 131-144 (1966).
    • (1966) J. Theor. Biol , vol.13 , pp. 131-144
    • Pielou, E.C.1
  • 33
    • 0000825481 scopus 로고
    • A statistical method for evaluating systematic relationships
    • Sokal, R. R. & Michenner, C. D. A statistical method for evaluating systematic relationships. Univ. Kansas Sci. Bull. 38, 1409-1438 (1958).
    • (1958) Univ. Kansas Sci. Bull , vol.38 , pp. 1409-1438
    • Sokal, R.R.1    Michenner, C.D.2
  • 35
    • 84900631115 scopus 로고    scopus 로고
    • Detecting Network Communities: A new systematic and efficient algorithm
    • Donetti, L. & Muñoz, M. A. Detecting Network Communities: a new systematic and efficient algorithm. J. Stat. Mech. P10012 (2004).
    • (2004) J. Stat. Mech
    • Donetti, L.1    Muñoz, M.A.2
  • 36
    • 27244441304 scopus 로고    scopus 로고
    • Community detection in complex networks using extremal optimization
    • Duch, J. & Arenas, A. Community detection in complex networks using extremal optimization. Phys. Rev. E 72, 027104 (2005).
    • (2005) Phys. Rev e , vol.72 , pp. 027104
    • Duch, J.1    Arenas, A.2
  • 37
    • 79951519598 scopus 로고    scopus 로고
    • Resolving the structure of interactomes with hierarchical agglomerative clustering
    • Park, Y. & Bader, J. S. Resolving the structure of interactomes with hierarchical agglomerative clustering. BMC Bioinformatics 12, S44 (2011).
    • (2011) BMC Bioinformatics , vol.12
    • Park, Y.1    Bader, J.S.2
  • 38
    • 38849162343 scopus 로고    scopus 로고
    • Computing communities in large networks using random walks
    • Pons, P. & Latapy, M. Computing communities in large networks using random walks. J. Graph Algorithms Appl. 10, 191-218 (2006).
    • (2006) J. Graph Algorithms Appl , vol.10 , pp. 191-218
    • Pons, P.1    Latapy, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.